Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes.
Rajesh P. N. RaoPublished in: Frontiers Comput. Neurosci. (2010)
Keyphrases
- desirable properties
- decision making under uncertainty
- dec pomdps
- partially observable markov decision processes
- preference relations
- influence diagrams
- decision problems
- decision makers
- decision making
- finite state
- reinforcement learning
- stochastic programming
- belief state
- planning under uncertainty
- dynamical systems
- continuous state
- dynamic programming
- multi agent
- optimal policy
- possibility theory
- decision analysis
- markov decision processes
- state space
- partially observable
- markov chain
- infinite horizon
- single agent
- real option
- planning problems
- decision theory
- decision theoretic
- np hard
- dynamic environments
- multistage